· 04:11 PM PDT

AI's Growing Pains: Ford Reverses, Anthropic Accuses, and Government Closes In

ai-digestdaily

Overview

Today's AI conversation is dominated by a striking reversal at Ford, which rehired 350 engineers after its AI quality-inspection system failed, and by Anthropic's serious accusation that Alibaba illicitly extracted Claude capabilities. Meanwhile, the Trump administration is asking OpenAI to stagger GPT-5.6 releases, and Paul Krugman explores why public sentiment toward AI has turned sharply negative.

Hacker News Stories

Ford AI hiccups push carmaker to rehire 'gray beard' inspectors

564 points · 296 comments · by alanwreath

Ford has rehired 350 veteran engineers over the past three years to address quality problems that its automated AI inspection tools failed to resolve. VP of Engineering Poon admitted the company mistakenly believed that simply introducing AI and ingesting design requirements would produce a high-quality product. The company recognized that to properly train and enhance their automation and machine learning tools, they needed the most experienced individuals on staff. The rehiring comes as Ford returns to the top of the JD Power Quality Survey rankings.

Interesting Points
  • Ford rehired 350 veteran engineers, many former employees and others from suppliers, over the past three years
  • VP Poon admitted: 'Mistakenly we thought that by just introducing artificial intelligence and ingesting the design requirements that we had, that that would produce a high-quality product'
  • Ford returned to the top of the JD Power Quality Survey rankings after the engineering overhaul
Top Comment Threads
  1. khriss (23 replies) -- Argues there were no consequences for the execs who made the AI layoff mistake, calling it 'cargo culting on using AI as a pretext for layoffs.' Notes the incentives are huge on the upside and zero on the downside for executives.
  2. zzzeek (0 replies) -- Challenges the layoff narrative, noting the article says Ford hired 350 engineers over three years alongside AI tool shortcomings, suggesting this predates the current AI ecosystem and was about MAIVIS and AiTriz visual inspection pilots.
  3. gm678 (6 replies) -- Sarcasm about the strategy: 'Step 1: fire everyone. Step 2: figure out how to use AI. In that order, apparently.'
  4. thewebguyd (6 replies) -- Describes the AI sentiment spreading through their exec team as 'like a disease,' with C-suites completely disconnected from reality and assuming they've achieved ASI.
  5. exabrial (4 replies) -- Compares this to the offshoring craze of the mid-2000s: fire people, send work overseas, drive up financial metrics for 5-6 quarters, then cultural and communication barriers break the system.

Show HN: OpenKnowledge – open source AI-first alternative to Obsidian/Notion

155 points · 75 comments · by engomez

OpenKnowledge is a local-first markdown editor and LLM wiki built by Inkeep, offering integrations with Claude, Codex, and Cursor desktop apps. It provides full WYSIWYG editing, collaborative AI-editing, out-of-the-box MCP server support, skills, and agentic search for LLM wikis and agent second brains. The project uses git/GitHub under the hood for team sharing and auto-sync, and is available as a macOS desktop app or as a web app/CLI for Linux, Windows, and Intel Mac.

Interesting Points
  • Built by Inkeep with full WYSIWYG markdown editing and collaborative AI-editing
  • Integrates with Claude, Codex, and Cursor desktop apps via MCP server and skills
  • Uses git/GitHub under the hood for team sharing and auto-sync
  • GPL-3.0 licensed with 270 GitHub stars
Top Comment Threads
  1. gman83 (3 replies) -- Asks why the tool is limited to Codex, Claude, and Cursor. The author responds that OpenCode is next on the queue and they're working through quality testing each integration.
  2. culi (2 replies) -- Questions why Obsidian, a collection of markdown files, isn't already AI-friendly. The author explains they built in skills and an MCP server into the app and auto-install those into coding agent formats, plus a web viewer for Claude Desktop.
  3. iamacyborg (1 replies) -- Asks if this follows Google's Open Knowledge Format proposed earlier. Author confirms it's a name collision but their templates are OKF-compliant and they have a quickstart for OKF knowledge bases.
  4. Natfan (2 replies) -- Notes macOS-only as a limitation. Author clarifies CLI and web viewer are available for Linux and Windows, with Electron support varying by distro.
  5. devCassius (1 replies) -- Asks about migration from Obsidian or Notion. Author says Obsidian vaults can be opened directly since it's just markdown, and Notion users can use the export-to-markdown approach.

Political bias in AI: Where the AI models stand

97 points · 195 comments · by mektrik

Scatter plot showing political bias positions of six AI models on a left-right, authoritarian-libertarian compass

Trakkr's interactive project measures political bias across six major AI models by asking each the same open question bank many times over with web search off. The results show 4 of 6 models lean left of center, with Gemini and DeepSeek closest to center, while ChatGPT and Grok show the strongest directional biases. The project uses Chapel Hill Expert Survey and World Values Survey data for reference, and publishes its methodology, question bank, and raw data openly.

Interesting Points
  • 4 of 6 models lean left of center on the economic axis
  • Gemini and DeepSeek measure closest to center; ChatGPT leans furthest left (-0.2982) and Grok furthest right (+0.2157)
  • Grok measures 0.36 further right than it claims, while Claude measures 0.34 further left than it claims
  • Each model is run many times to show full spread as a cloud rather than a single point
Top Comment Threads
  1. mrhottakes (7 replies) -- Argues the outcome depends entirely on how responses to politically charged questions are graded as left vs. right — essentially measuring a delta in biases between the model and the investigator.
  2. giancarlostoro (7 replies) -- Says the political compass is the wrong tool for nuanced politics, but notes Grok's position makes sense given Musk's history of 'fixing' it when it breaks with MAGA views.
  3. Cakez0r (7 replies) -- Calls the chart a 'chart crime' — Grok has a comically long line extended to the right while every other logo is positioned below its data point. Says ChatGPT is further left than Grok is right but the visual makes it look otherwise.
  4. samat (5 replies) -- Argues real politics is 1% versus everyone — mortgage crisis, financial bailout, inflation, taxing labor not assets — and that the left vs. right divide is now divide-and-control tactics.
  5. godshatter (4 replies) -- Asks why there are differences at all — training data or deliberate shaping? Suggests treating LLMs as 'captive demons' that should only provide options and facts, not opinions.

Why Does Everyone Hate AI?

79 points · 138 comments · by megacorp

Paul Krugman's Substack article header

Paul Krugman explores why public sentiment toward AI has turned sharply negative, citing a Pew survey showing most Americans believe AI will be negative for society. He identifies five mutually reinforcing reasons: AI companies themselves promoted apocalyptic job-loss predictions to dazzle Wall Street; AI is being forced on workers and consumers who can't opt out; data centers are highly visible reminders of AI's environmental costs; tech companies had already lost public trust before AI; and AI is tightly linked with the tech oligarchs pushing it.

Interesting Points
  • A Pew survey found American adults believe by a wide margin that AI will be negative for society
  • In 1999, attitudes toward the internet were extremely positive; by 2022, public opinion of tech companies had evaporated
  • 57% of Americans would oppose a datacenter in their neighborhood, with only 14% supporting one
  • Satya Nadella warned: 'You can't say, hey, all white-collar jobs are gone and this could even be a weapon'
Top Comment Threads
  1. voidUpdate (7 replies) -- Says 'everyone' is an overstatement — HN is full of people happily using LLMs. Another commenter notes HN is a poor representation of average Americans, and Krugman himself is also not representative.
  2. nancyminusone (6 replies) -- Argues AI is synonymous with low quality and low effort outside software — 'I don't care enough about you to bother with you myself, I'll have the AI do it.' The actual quality of output is irrelevant to this perception.
  3. esperent (5 replies) -- Proposes that people care deeply about art and artists, and AI companies literally stole artists' work to automate creation. This makes people uncomfortable as billionaires get richer while eating into creative livelihoods.
  4. orangedog (5 replies) -- Notes a recent survey showed 60% of Americans dislike AI, meaning 40% either like it or don't care. Observed that high schoolers all use it regardless.
  5. coldtea (1 replies) -- Lists reasons AI is hate-worthy: removes jobs without substituting equal new jobs, serves spam and manipulation, constitutes copyright fraud, fills the web with slop, and is added to products despite users saying they dislike it.

Hasbro's TV Contracts Ask Child Voice Actors to Sign Rights Away for AI Use

21 points · 6 comments · by ilamont

Peppa Pig character image from the article

The U.K.-based Agents of Young Performers Association has published an open letter alleging that Hasbro, which owns Peppa Pig, is requiring child voice actors to surrender their voices for AI use in contracts. The group argues children cannot provide fully informed legal consent and that parental approval should never be a blanket license to capture, clone, train, or reuse a child's voice indefinitely. Hasbro did not deny the series in question was Peppa Pig, stating they are committed to engaging with the issue responsibly.

Interesting Points
  • The open letter has more than 1,000 signatures from representatives and actors
  • AYPA argues children cannot provide fully informed legal consent and parental approval should never be a blanket license for AI voice use
  • Hasbro stated: 'The protection of child performers is core to who Hasbro is; it's part of our DNA'
  • In the U.K., performers cannot join the actors' union Equity until they are 10 years old
Top Comment Threads
  1. MisterTea (3 replies) -- Notes the future for voice actors: once AI is trained, studios won't need to hire kids for further sessions. Another commenter points out the voice acting industry already has inertia and union contracts have minimum hiring quotas.
  2. kazinator (0 replies) -- Compares it to 'a contract for milk delivery where the customer adds a clause that all the cows are belong to them.'
  3. tanseydavid (0 replies) -- Wonders how John Fogerty feels about this, referencing his unsuccessful lawsuit for sounding too much like himself.

Reddit Stories

Japanese animator using Seedance to render anime from simple 3D models

2607 points · 347 comments · r/singularity · by u/PointmanW

Anime-style animation rendered using Seedance from simple 3D models

A Japanese animator known as Tetsurou, who has worked in the anime industry for over 10 years on projects including TRIGUN STAMPEDE and TRIGUN STARGAZE, is using Anthropic's Seedance to render anime from simple 3D models. The results have been praised for looking better than normal CGI in anime and representing a potentially new workflow for long-format video with consistent worlds.

Interesting Points
  • Tetsurou has worked in the anime industry for over 10 years, most recently on TRIGUN STAMPEDE and TRIGUN STARGAZE
  • The technique uses Seedance to render anime from simple 3D models, blending 3D/2D together
  • Commenters note it looks better than normal CGI in anime and could help with long-format video consistency
Top Comment Threads
  1. u/krazzel (505 points · permalink) -- Says this is the way to do proper long-format video with consistent worlds. A reply notes it's similar to current animation techniques and could help artists blend 3D/2D together.
  2. u/PointmanW (334 points · permalink) -- Provides credit to the animator Tetsurou and notes his 10+ years of industry experience, asking if that's enough 'intentionality' and 'creative input' to be considered art.
  3. u/NohWan3104 (215 points · permalink) -- Says it looks better than normal CGI in anime and calls the 'art' debate gatekeeping, noting the Trigun reboot's art style wasn't its strongest aspect.

Data center noise irks Virginia neighbors: 'You just want to curse'

2282 points · 462 comments · r/singularity · by u/Nikvest

Residents using mattresses and plexiglass to block data center noise

Neighbors in Virginia are putting mattresses and plexiglass in their windows to block the constant high-pitched whine from natural gas turbines powering a nearby data center. The noise never stops 24/7, and residents describe wanting to 'curse' from the relentless sound. The post highlights the growing friction between AI infrastructure expansion and local communities.

Interesting Points
  • Residents use mattresses and plexiglass in windows to block the high-pitched whine from data center turbines
  • The noise from natural gas turbines powering the data center never stops 24/7
  • Commenters note the data center isn't even connected to the power grid and only needs an internet connection
Top Comment Threads
  1. u/qGuevon (603 points · permalink) -- Asks how this is happening in the US given strict zoning laws. A reply bluntly states: 'Money talk. Bullshit walks.'
  2. u/Driksman (352 points · permalink) -- Simply asks 'why tf would you build a datacenter there' in a residential neighborhood.
  3. u/zarafff69 (287 points · permalink) -- Notes the data center isn't connected to the power grid and only needs an internet connection, so there's no reason it needs to be in residential neighborhoods.

Mozilla Used Anthropic's Mythos to Find and Fix 271 Bugs in Firefox

913 points · 125 comments · r/singularity · by u/Tinac4

Mozilla Firefox browser logo

Mozilla announced that its Firefox 150 browser release includes protections for 271 vulnerabilities identified using early access to Anthropic's Mythos Preview. A Mozilla employee clarified in comments that internally found bugs go into roll-up advisories rather than one CVE per bug, and the actual number of bugs can be seen through Bugzilla links in each advisory. The post sparked discussion about Mythos access and whether nightly security releases will become standard.

Interesting Points
  • Firefox 150 includes protections for 271 vulnerabilities identified using Anthropic's Mythos Preview
  • Mozilla uses roll-up advisories for internally found bugs rather than issuing one CVE per bug
  • Commenters note this could lead to nightly security releases as bugs can be exploited instantly
Top Comment Threads
  1. u/EvillNooB (344 points · permalink) -- Jokes about wanting access to Mythos to fix their life. A reply says companies are being sent it to prep for incoming cyber attacks at year-end.
  2. u/helg0ret (93 points · permalink) -- Notes the Firefox 150 change log only mentions 3 vulns found with Claude, not 271.
  3. u/Beginning-Reach3215 (99 points · permalink) -- Mozilla employee explains that internally found bugs go into roll-up advisories with Bugzilla links, and the 271 bugs are covered across three roll-up advisories (CVE-2026-6784, 6785, 6786).

ai chatbots politically biased? here's what the washington post found from testing

648 points · 1203 comments · r/singularity · by u/Hot_Perspective

Screenshot of Washington Post AI bias testing results

The Washington Post tested major AI chatbots on politically charged questions and published findings on model bias. The post generated significant discussion about the methodology, with many commenters questioning whether journalists' prompt-based testing is a valid way to measure model bias compared to peer-reviewed academic studies. Some noted that reality itself has a 'liberal bias' when it comes to factual questions like climate change.

Interesting Points
  • The Washington Post tested major AI chatbots on politically charged questions
  • Commenters questioned whether journalist prompt-testing is as valid as peer-reviewed academic studies
  • One commenter noted: 'If I were to ask an AI is climate change real? And the AI answered yes. Is that a left-leaning answer or is that simply the truth?'
Top Comment Threads
  1. u/tequeman (1123 points · permalink) -- Questions the chart's interpretability: if an AI says climate change is real, is that a left-leaning answer or simply the truth? Replies note the right made anti-science part of their agenda, so certain facts are viewed as left-wing in practice.
  2. u/A_Novelty-Account (346 points · permalink) -- Skeptical of trusting WaPo to tell you which bot is biased, calling for peer-reviewed academic studies instead of journalists plugging in prompts.
  3. u/a_boo (209 points · permalink) -- Briefly states: 'Reality has a well known liberal bias.'

OpenAI, Anthropic, Stripe and Bill Gates are putting $500 million in funding into a new organization called Intercept whose goal is to eliminate all respiratory viruses

522 points · 70 comments · r/singularity · by u/TorturedPoet30

Intercept organization announcement

Stripe, Anthropic, the OpenAI Foundation, Bill Gates, and Jane Street Capital are funding a new $500 million nonprofit called Intercept aimed at eliminating all respiratory viruses including the common cold and flu. The organization will use grants and investments to back prevention approaches including vaccines and large-scale air-cleaning systems for schools, offices, and public spaces. The post generated mixed reactions, with some praising the investment in medicine over war and others noting the money may cycle back to OpenAI for model use.

Interesting Points
  • Intercept is a new $500 million nonprofit funded by Stripe, Anthropic, OpenAI Foundation, Bill Gates, and Jane Street Capital
  • Goal is to eliminate all respiratory viruses including the common cold and flu
  • Will fund prevention approaches including vaccines and large-scale air-cleaning systems for schools and offices
Top Comment Threads
  1. u/Gallagger (91 points · permalink) -- Says it should be $500 billion, calling the current level ridiculous given how much of a lifelong struggle respiratory viruses are.
  2. u/techreview (36 points · permalink) -- Provides context from the article: the common cold has no prevention, and Intercept will fund vaccines and air-cleaning systems for public spaces.
  3. u/Independent-Soup-312 (24 points · permalink) -- Suggests the money from OpenAI's nonprofit arm is probably going back to OpenAI for use of their models.

The Swiss Federal Supreme Court is evaluating Heretic

698 points · 98 comments · r/LocalLLaMA · by u/-p-e-w-

The Swiss Federal Supreme Court is evaluating Heretic, an abliterated LLM, for their own use. The court has been suffering from LLMs refusing perfectly legitimate requests in criminal law contexts, where rulings and cases routinely contain detailed descriptions of violent and sexual offenses that trigger model guardrails. The Heretic paper introduces TFRefusalBench, a multilingual benchmark for criminal-law translation and summarization derived from public Swiss Supreme Court decisions, measuring how often models refuse to process legitimate legal content.

Interesting Points
  • The Swiss Federal Supreme Court is evaluating Heretic for internal use in criminal law contexts
  • Court work routinely contains detailed descriptions of violent and sexual offenses that trigger model guardrails
  • Heretic introduces TFRefusalBench, a multilingual benchmark for criminal-law translation and summarization
  • Drug discovery companies also can't use mainstream/closed LLMs for similar reasons
Top Comment Threads
  1. u/sekh60 (217 points · permalink) -- Jokes that the Swiss Federal Supreme Court are 'full of gooners.' A reply provides the paper's abstract explaining why courts get hit harder by refusals: criminal law cases contain detailed descriptions of violent and sexual offenses that activate model guardrails.
  2. u/Mountain-Dragonfly46 (164 points · permalink) -- Works in drug discovery and says they also can't use mainstream/closed LLMs for similar guardrail reasons.
  3. u/DataPhreak (94 points · permalink) -- Jokes: 'Damnit -p-e-w-, you've caused an international incident!'

If LLMs are so good at coding…

359 points · 294 comments · r/LocalLLaMA · by u/codeanish

A discussion about why ROCm and Intel stacks haven't rapidly improved their software ecosystems to match CUDA, despite LLMs being so good at coding. The poster argues that until software from other vendors catches up with NVIDIA, they'll always charge a massive premium on 'it just works' products. Commenters noted that LLMs are good at helping with coding but not at solving the complex infrastructure problems, and that LLMs accelerate coders inversely proportional to task complexity.

Interesting Points
  • ROCm and Intel stacks haven't caught up to CUDA despite LLMs being good at coding
  • LLMs accelerate coders inversely proportional to complexity — for difficult tasks, only 2-1.5x boost at best
  • AMD taking down ZLUDA was described as 'one of the most self-defeating moves in recent memory'
  • LLMs allow non-coders to generate proof-of-concept apps but have no impact on production software
Top Comment Threads
  1. u/AliMas055 (638 points · permalink) -- Makes the key distinction: 'LLMs are not so good at coding. They are good at helping with coding.'
  2. u/RagingAnemone (260 points · permalink) -- Asks 'Where's my autocad for Linux?' highlighting the gap between LLM coding ability and complex professional software ecosystems.
  3. u/Brilliant_Rich3746 (108 points · permalink) -- Says AMD taking down ZLUDA was 'one of the most self-defeating moves in recent memory' — one guy built the compatibility layer they needed and they killed it.

NVIDIA has released Nemotron-TwoTower-30B-A3B-Base-BF16, an unusual diffusion-based language model built from the Nemotron 3 Nano 30B-A3B backbone.

354 points · 57 comments · r/LocalLLaMA · by u/nikhilprasanth

NVIDIA Nemotron model announcement

NVIDIA has released Nemotron-TwoTower-30B-A3B-Base-BF16, an unusual diffusion-based language model built from the Nemotron 3 Nano 30B-A3B backbone. The two-tower architecture is notable in the LLM space, and early observations suggest it retains higher accuracy than DiffusionGemma compared to their original models. Community reaction was mixed, with some expressing interest and others preferring more conventional model releases.

Interesting Points
  • NVIDIA released a diffusion-based language model built from the Nemotron 3 Nano 30B-A3B backbone
  • Early observations suggest it retains higher accuracy than DiffusionGemma compared to their originals
  • The two-tower architecture is unusual for language models
Top Comment Threads
  1. u/Skylleur (150 points · permalink) -- Jokes about American companies releasing 'twin tower' products, referencing Lord of the Rings.
  2. u/NickCanCode (102 points · permalink) -- Not interested, preferring 'Qwen-The-Return-of-the-King-27B' instead.
  3. u/TheLexoPlexx (86 points · permalink) -- Notes they don't understand the technical details but it seems to retain higher accuracy than DiffusionGemma compared to their originals.

Anthropic accuses Alibaba of campaign to 'brazenly' and 'illicitly' extract AI capabilities

252 points · 271 comments · r/LocalLLaMA · by u/External_Mood4719

Anthropic and Alibaba logos

Anthropic has accused Alibaba of running a campaign to brazenly and illicitly extract AI capabilities from its models. The accusation has generated significant discussion about the irony given Anthropic's own business model involves distillation, and whether LLM outputs are even copyrightable. Commenters also pointed out that Dario Amodei's political strategy of asking for regulation has backfired, giving the Trump administration leverage just before Anthropic's IPO.

Interesting Points
  • Anthropic accuses Alibaba of running a campaign to brazenly and illicitly extract AI capabilities
  • Commenters note the irony that Anthropic's own business model involves distillation
  • One commenter argues LLM outputs aren't even copyrightable, unlike the training data Anthropic scooped up
Top Comment Threads
  1. u/eli_pizza (731 points · permalink) -- Points out that LLM outputs aren't even copyrightable — Anthropic doesn't own them, unlike the data they scooped up to train the models.
  2. u/suprjami (235 points · permalink) -- Points out the irony: 'Yeah Dario, imagine illegally using data to train LLMs,' linking to Anthropic's own settlement with the Authors Guild.
  3. u/Accomplished-Air439 (168 points · permalink) -- Simply asks: 'Well, why don't you release an open model?'
  4. u/FormerKarmaKing (139 points · permalink) -- Argues Dario's political strategy keeps backfiring — the Mythos 'please regulate us' move gave Trump enormous leverage before their IPO, and now he's told the stock market their moat is thinner than realized.

Ornith-1.0 released on Hugging Face

228 points · 105 comments · r/LocalLLaMA · by u/paf1138

Ornith-1.0 model collection on Hugging Face

Ornith-1.0 has been released on Hugging Face with four model sizes: 9B Dense, 31B Dense, 35B MoE, and 397B MoE, reporting state-of-the-art results on various benchmarks. Early testing by community members suggests the 35B Q8_0 version performs comparably to Qwen 3.6 35B but with faster token rates, and some describe it as feeling 'much more like 3.6 27B except far, far faster.' The models are post-trained versions of Qwen3.5 and Gemma4.

Interesting Points
  • Ornith-1.0 includes four model sizes: 9B Dense, 31B Dense, 35B MoE, and 397B MoE
  • Reports state-of-the-art results on various benchmarks
  • Early testing suggests the 35B version performs like Qwen 3.6 27B but much faster
  • Models are post-trained versions of Qwen3.5 and Gemma4
Top Comment Threads
  1. u/N34257 (67 points · permalink) -- Reports running the 35B Q8_0 version on dual R9700 Vulkan setup at 115t/s, saying it feels 'much more like 3.6 27B except far, far faster' and calls it 'the real deal.'
  2. u/sebaxzero (38 points · permalink) -- Testing on Pi, notes the 35B model has built-in prompt injection protection — it refuses to return canary tokens embedded in context.
  3. u/EvolvingDior (37 points · permalink) -- Notes these are post-trained Qwen3.5 and Gemma4 models.

GPT-5.5 Instant now rolling out

568 points · 124 comments · r/OpenAI · by u/imfrom_mars_

GPT-5.5 Instant announcement

OpenAI is rolling out GPT-5.5 Instant to users. Some users noted the news seemed familiar, having already had access to Instant, Medium, and High tiers for weeks. The rollout has sparked discussion about how to tell if users are on the new or old 5.5 Instant, with the consensus being that everyone will have it by end of day.

Interesting Points
  • GPT-5.5 Instant is now rolling out to ChatGPT users
  • Some users report having had Instant, Medium, and High tiers for at least a couple weeks already
  • Users miss the ability to use standard thinking and extended modes in tandem
Top Comment Threads
  1. u/CatInDarkRoom (180 points · permalink) -- Asks if this is news from last month. A reply confirms they've had Instant, Medium & High for at least a couple weeks.
  2. u/Dudmaster (27 points · permalink) -- Asks how users can tell if they're using the new or old 5.5 Instant.

Some new updates to Papers with Code

69 points · 7 comments · r/MachineLearning · by u/NielsRogge

Papers with Code update announcement

Niels Rogge from Hugging Face announces updates to Papers with Code, reviving the platform in what he calls the 'age of research.' New features include support for SOTA badges similar to the old website, external evaluations tracking third-party benchmarks, and improved discoverability for research papers and their associated code. The revival aims to help researchers discover each other's work and build on each other's efforts to collectively advance the field.

Interesting Points
  • Papers with Code is being revived with SOTA badge support
  • New external evaluations feature tracks third-party benchmarks for models
  • Niels Rogge from Hugging Face is leading the revival effort
Top Comment Threads
  1. u/Alternative_Essay_55 (6 points · permalink) -- Asks how to contribute to the revival, wanting to get started with open-source ML contributions.
  2. u/Formal_Wolverine_674 (4 points · permalink) -- Praises the addition of external evaluations, calling tracking third-party benchmarks a 'massive game-changer' for seeing how models perform post-release.

We chased a hallucinated quote through 30k training records, 4,600 transcripts, and our own system prompt

250 points · 56 comments · r/artificial · by u/Sardzoski

Inter-1 model hallucination investigation

A team behind Inter-1, an omni-modal social-signal model, investigated a persistent hallucination where the model would occasionally report hearing a specific quote ('Yeah, Friday at five') even when fed video with zero audio. They traced it through 30,960 training records, 4,603 video transcripts, and ~800 inference logs before discovering it was caused by two separate bugs rather than a single baked-in training artifact. The post provides a rare behind-the-scenes look at how LLM hallucinations can emerge from complex interactions between training data and inference pipelines.

Interesting Points
  • The model hallucinated the exact quote 'Yeah, Friday at five' even with zero audio input
  • The team traced it through 30,960 training records, 4,603 video transcripts, and ~800 inference logs
  • The root cause was two separate bugs rather than a single baked-in training artifact
Top Comment Threads
  1. u/RADICCHI0 (31 points · permalink) -- An information scientist shares a similar experience where Gemini kept feeding them an illegal chess move (a pawn moving as a knight) before finally admitting the error.
  2. u/Andrew2401 (8 points · permalink) -- Suggests adding a simple decibel check before sending audio to the model's pipeline — if empty, don't send it.
  3. u/Kooshi_Govno (42 points · permalink) -- Counters that removing silence would only treat the symptom, not the deeper issue the hallucination reveals.

GPT 5.6 preview is about to be dropped

481 points · 146 comments · r/OpenAI · by u/DigSignificant1419

GPT-5.6 preview announcement

OpenAI is about to drop a preview of GPT-5.6, generating discussion about what 'preview' means in the context of OpenAI's increasingly confusing version numbering. Some users question whether the preview is only for Pro Max users, while others note the gap between Fable 5 and GPT-5.5 is significant and 5.6 likely won't close it. The conversation also touches on the Trump administration's request for OpenAI to stagger the release of GPT-5.6 over security concerns.

Interesting Points
  • GPT-5.6 preview is about to be released by OpenAI
  • Users question what 'preview' means and whether it's limited to Pro Max users
  • Discussion about the gap between Fable 5 and GPT-5.5, with some doubting 5.6 will close it
Top Comment Threads
  1. u/Illustrious_Image967 (71 points · permalink) -- Asks what 'preview' means and whether it's only for Pro Max users.
  2. u/Melodic_Reality_646 (25 points · permalink) -- Says people don't understand the gap between Fable 5 and GPT-5.5 yet, and 5.6 won't close it — they may match on benchmarks but real-world complex code work is different.
  3. u/MrMrsPotts (38 points · permalink) -- Shares personal experience using Fable and not finding it as good as 5.5 in math, asking where others saw it as much better.

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